Resource management in Legion

Chapin, Steve J.; Katramatos, Dimitrios; Karpovich, John F.; Grimshaw, Andrew S.

doi:10.1016/s0167-739x(99)00011-4

Cited by 106 publications

(58 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Following this idea, scheduling in Legion is flexible and can be tailored to suit applications with different requirements. The main Legion components involved in scheduling are the collection, the enactor, the scheduler, and the hosts which will execute the schedule [5]. The collection provides information about the available resources and the scheduler selects the resources to be used in a schedule.…”

Section: Legionmentioning

confidence: 99%

Application-aware scheduling of a magnetohydrodynamics application in the Legion metasystem

Dail

Obertelli²,

Berman³

et al.

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556)

View full text Add to dashboard Cite

Section: Legionmentioning

confidence: 99%

Application-aware scheduling of a magnetohydrodynamics application in the Legion metasystem

Dail

Obertelli²,

Berman³

et al.

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556)

View full text Add to dashboard Cite

“…The problems associated with gathering accurate performance measurements from active computational and network resources continue to pose signi cant research challenges 24,21,5,6,20,8,19]. In general, there is a tension between the intrusiveness of a monitoring technique and the measurement accuracy it provides.…”

Section: Performance Monitoringmentioning

confidence: 99%

The network weather service: a distributed resource performance forecasting service for metacomputing

Wolski

Spring

Hayes

1999

Future Generation Computer Systems

994

572

View full text Add to dashboard Cite

The goal of the Network Weather Service is to provide accurate forecasts of dynamically changing performance characteristics from a distributed set of metacomputing resources. Providing a ubiquitous service that can both track dynamic performance changes and remain stable in spite of them requires adaptive programming techniques, an architectural design that supports extensibility, and internal abstractions that can beimplemented e ciently and portably. In this paper, we describe the current implementation of the NWS for Unix and TCP/IP sockets and provide examples of its performance monitoring and forecasting capabilities.

show abstract

“…The general scheduling architecture in Legion is based on negotiation between resource providers and consumers [13]. The negotiation process preserves autonomy of resource providers while satisfying the demands of the consumers.…”

Section: Schedulingmentioning

confidence: 99%

Capacity and Capability Computing Using Legion

Natrajan

Humphrey

Grimshaw

2001

Computational Science — ICCS 2001

View full text Add to dashboard Cite

Abstract. Computational Scientists often cannot easily access the large amounts of resources their applications require. Legion is a collection of software services that facilitate the secure and easy use of local and non-local resources by providing the illusion of a single virtual machine from heterogeneous, geographically-distributed resources. This paper describes the newest additions to Legion that enable high-performance (capacity) computing as well as secure, fault-tolerant and collaborative (capability) computing.

show abstract

Resource management in Legion

Cited by 106 publications

References 6 publications

Application-aware scheduling of a magnetohydrodynamics application in the Legion metasystem

Application-aware scheduling of a magnetohydrodynamics application in the Legion metasystem

The network weather service: a distributed resource performance forecasting service for metacomputing

Capacity and Capability Computing Using Legion

Contact Info

Product

Resources

About